Plugins listed here are tagged for this technology stack and auto-indexed from public GitHub repositories.
Plugins listed here are tagged for this technology stack and auto-indexed from public GitHub repositories.
Claude Code plugins tagged for Python development. Browse commands, agents, skills, and more.
Enforce test-driven development, structured debugging, and code review workflows in Claude Code. Plan features in granular tasks, execute them in isolated worktrees with parallel subagents, and verify completeness with automated checks before merging.
Transforms Claude Code into a full-featured development platform with 270+ language-specific skills, 90+ CLI commands, and 67 specialized agents covering code generation, review, testing, debugging, deployment, security, and automation across 40+ technology stacks.
Create, read, edit, and generate Office documents — Excel spreadsheets, Word reports, PowerPoint presentations — plus PDF manipulation, form filling, and conversion between formats. Also includes art/image generation, frontend UI building, and document co-authoring workflows.
Automatically generate C4 architecture diagrams (Context, Container, Component, Code) from your codebase via bottom-up analysis, producing Mermaid diagrams and documentation for system design, API interfaces, and deployment units.
Reverse engineer binaries, triage and unpack malware, extract and analyze firmware, perform memory forensics, and dissect network protocols using specialized AI agents and skills for authorized security research, CTFs, and incident response.
Orchestrate 1,388 specialized AI skills in Claude Code to automate expert workflows for Azure SDK integrations, Odoo/Shopify configs, SEO audits, security pentests, full-stack scaffolding, agent building, and DevOps pipelines across Python, React, AWS, Kubernetes.
Scaffold and develop production-ready Python projects with FastAPI, Django, async patterns, type safety, testing, and observability. Includes code generation, linting, profiling, packaging, and deployment guidance.
Run Claude in a continuous iterative loop, feeding the same prompt back after each response for repeated refinement until task completion. Supports cancellation, max iterations, and completion promises.
Automatically generate API docs, user guides, tutorials, and architecture diagrams from code analysis, while also performing code review and security vulnerability detection.
Refactors and modernizes legacy codebases by detecting code smells, SOLID violations, and technical debt, generating prioritized remediation plans with cost estimates, while preserving project context for safe incremental migrations.
Accelerate full-stack development with 66 specialized skills covering 12 languages, frontend/backend frameworks, infrastructure, DevOps, security, and testing, plus Jira/Confluence project management commands for epic planning, discovery, and retrospectives.
Orchestrate swarms of specialized AI agents to automate end-to-end software development: plan features, implement code with Rails/Python/TS patterns, conduct multi-perspective reviews for architecture/security/performance, resolve todos/PR feedback in parallel, run browser/iOS tests, sync Figma designs, generate docs/videos, and ship PRs.
Build and deploy production-grade LLM applications with LangGraph for agent orchestration, advanced RAG pipelines leveraging vector and hybrid search, prompt engineering patterns, and automated evaluation. Covers embedding model selection, vector index optimization, and multi-agent architectures for document Q&A, chatbots, and semantic search over proprietary data.
Automate technical debt reduction, dependency updates, and code refactoring by scanning for vulnerabilities and code smells, generating prioritized remediation plans, and leveraging AI-powered test automation and code review.
Generate production-ready stateful CLI harnesses for GUI applications from local paths or GitHub repos, implementing Click CLI with REPL/JSON support, pytest unit/E2E tests, and docs. List installed harnesses, refine coverage gaps, run tests to verify functionality, and validate against standards.
Generate Nature-style scientific manuscripts, figures, response letters, patent drafts, and presentations from research materials. Conduct multi-source literature searches, citation management, paper reading with Chinese-English side-by-side rendering, and simulated peer review.
Enforce award-winning UI/UX design taste in frontend projects, generating premium brand images, brutalist web interfaces, editorial layouts, and mobile app concepts while upgrading existing designs with strict typography, color, and spacing rules.
Drive creative direction with algorithmic design manifestos, generative p5.js art, brand voice optimization, and portfolio interfaces that convert visitors to clients.
Run multi-perspective code reviews across architecture, security, performance, and best practices, including git-based PR analysis with specialized agents for vulnerability scanning and architectural integrity.
Delegate architecture, implementation, optimization, and debugging of complex applications to specialized AI agents expert in Python/Django/FastAPI, TypeScript/React/Next.js/Angular/Vue, Go, Rust, Java/Spring Boot, PHP/Laravel/Symfony, C#/.NET, mobile (Flutter/React Native/Swift/Kotlin), Elixir/Rails, SQL, and DevOps tools.
Perform end-to-end research workflows: market analysis, competitor benchmarking, trend detection, data validation, and idea vetting. A team of specialized agents retrieves and synthesizes information from web, files, and scientific literature to deliver actionable insights and strategic recommendations.
Design and document backend architectures using patterns like Clean Architecture, Domain-Driven Design, microservices, and event sourcing with CQRS, while generating architecture diagrams and managing Architecture Decision Records (ADRs) with MADR templates.
Programmatically create, edit, and analyze office documents (DOCX, XLSX, PPTX, PDF) and Google Workspace files using Python scripts, enabling automated report generation, format conversion, and data extraction.
Build production-ready data pipelines with Apache Airflow and dbt, manage scalable data warehouses, and implement vector search and RAG systems using embedding models and vector databases.
Run a production-grade academic research pipeline: deep research, paper writing, integrity checks, peer review simulation, revision with response-to-reviewers, and finalization. Includes citation verification, literature review generation, bilingual abstract creation, and format conversion between LaTeX, DOCX, PDF, and Markdown.
Run PluginEval certification pipeline on Claude plugins or skills to compute quality scores, badges (Platinum/Gold/Silver/Bronze), dimension breakdowns, anti-patterns, and recommendations via static analysis and LLM judging across 10 criteria including triggering, orchestration, and output quality. Compare skills head-to-head or evaluate directories for actionable insights.
Enforce strict red-green-refactor TDD cycles: generate failing tests, implement minimal passing code, then refactor while keeping tests green. Includes AI-powered code review for security and quality.
Perform business analysis workflows — KPI frameworks, predictive models, real-time dashboards, TAM/SAM/SOM calculations, and multi-year financial modeling for startups — using Python, SQL, and cloud data warehouses like Snowflake and BigQuery.
Write HTML and render it as video with animated compositions, captions, voiceovers, audio-reactive visuals, and website-to-video capture, all driven by a CLI dev loop and deployable to AWS Lambda.
Centers Python backend development around async patterns, FastAPI, Django, and modern tooling, providing architectural guidance, testing strategies with pytest, and production best practices for scalable APIs and services.
Execute marketing and growth workflows including A/B testing setup, SEO diagnostics and optimization, analytics tracking audit, programmatic SEO strategy, and automated content/email campaign creation with brand voice analysis.
Build and manage cloud infrastructure and deployment pipelines with AWS serverless, Docker, Kubernetes, Terraform, and CI/CD workflows, including environment setup, containerization, GitOps, and production deployment strategies.
Manage Python projects via structured tracks for features, bugs, refactors: initialize context artifacts like product.md and tech-stack.md, create detailed specs and phased plans, implement tasks with strict TDD workflow using pytest coverage and git commits, monitor status, revert commits, and validate artifacts for consistency.
Develop and deploy Odoo ERP solutions with custom module scaffolding, ORM operations, security rules, eCommerce and CRM configuration, Docker-based deployment, and performance troubleshooting.
Enforce code quality and security checks after every change, automate git commits and pushes with conventional messages, generate structured task checklists, guide incremental refactoring, and apply systematic debugging—all within Claude Code.
Enables Claude Code to conduct comprehensive security assessments across web applications, cloud infrastructure (AWS, Azure, GCP), and DevSecOps pipelines, including penetration testing, vulnerability scanning, privilege escalation, and audit reviews.
Design, build, and deploy MCP servers for Claude by interrogating your use case to select deployment models like remote HTTP, MCPB, or local stdio, implementing tool patterns with auth, adding interactive UI widgets such as forms, pickers, and dashboards for inline chat rendering, and packaging into standalone Node or Python .mcpb bundles for local distribution without user toolchain.
Build and evaluate production-grade AI agents using LangGraph, RAG systems, MCP servers, and prompt engineering patterns—with behavioral testing and reliability monitoring.
Autonomous investment banking pitch agent: pulls market data, builds DCF and football-field valuation Excel models, and produces branded pitch deck files on disk — all from a single natural-language request.
Delegate complex coding tasks and adversarial code reviews to Codex CLI from within Claude Code, with background job support, git-scoped analysis, and result retrieval.
Automate RevOps and CRM workflows across HubSpot, Stripe, Shopify, Zendesk, SendGrid, Google Calendar, and Outlook Calendar — manage contacts, deals, orders, subscriptions, tickets, campaigns, and events without leaving Claude Code.
Build, deploy, and monitor AI-powered cloud applications on Azure using containerized apps, serverless functions, OpenAI integration, AI Search, and observability across .NET, Python, and Node.js.
Enables startup founders to perform competitive landscape analysis, generate SEO-optimized competitor comparisons, write conversion-focused marketing copy, plan product launches, prioritize features using RICE, analyze customer interviews, and integrate Stripe payments.
Accelerate LLM application development with production-ready patterns for context window management, RAG pipelines, prompt caching, observability via Langfuse, and agent architectures.
Integrate external APIs for payments, communications, search, CRM, and financial data — Stripe, Twilio, Algolia, HubSpot, and Plaid — with production patterns for auth, webhooks, and compliance.
Coordinate specialized AI agents through the full academic paper writing workflow: from literature search and argument blueprinting to drafting, citation verification, bilingual abstract generation, journal formatting, and simulated peer review, producing publication-ready LaTeX, DOCX, or PDF output.
Delegate complex data engineering, ML, and AI workflows to specialized sub-agents that design scalable pipelines, build and optimize models, architect LLM systems, tune databases for performance, and deploy production infrastructure across clouds.
Add commerce and payment workflows to Claude Code projects: Stripe and PayPal payments, Plaid financial data integration, HubSpot CRM, and Algolia search — enabling subscriptions, checkout, and customer management.
Implement Domain-Driven Design with tactical patterns (aggregates, entities, value objects), CQRS, event sourcing, and saga orchestration. Design bounded contexts, map integration contracts, and build event stores with read models for scalable, event-driven systems.
Create, edit, read, and extract content from .pptx presentation files programmatically, with built-in design guidance for professional-looking slides using curated color palettes and visual motifs.
Extract text and tables from PDFs, fill forms, generate new PDFs, merge, split, rotate, watermark, encrypt, decrypt, extract images, and perform OCR using Python libraries.
Automate professional equity research workflows: generate earnings reports, initiating coverage, pre-earnings analysis, morning meeting notes, and sector landscapes. Screen stocks, track catalysts, update financial models, and maintain investment theses with cited sources.
Provides structured guidance for executing cybersecurity operations across penetration testing, incident response, threat hunting, cloud security, and malware analysis, with step-by-step procedures and tool usage.
Ingest GP valuation packages, run portfolio-company marks through valuation templates, compute NAV and waterfall, and stage LP reporting for IR review in private equity workflows
Generate sector and thematic market research reports including industry overviews, competitive landscapes, comparable company analyses, and investment idea shortlists. Automates creation of structured .pptx and Excel outputs for financial analysis workflows.
Invoke MiniMax AI skills to scaffold React/Next.js frontends, fullstack apps with Node/Python/Go backends, Flutter/React Native/Android/iOS mobile projects; generate/edit DOCX/PDF/PPTX/XLSX files; produce GIF stickers, shaders, music playlists/videos; analyze images via CLI workflows.
Manage the full ML lifecycle on Hugging Face Hub: search and select models, train or fine-tune with TRL/Unsloth, evaluate locally, build and deploy Gradio demos on Spaces, publish research papers, and monitor training metrics — all from the command line or agent.
Create, read, and edit Word documents (.docx) with tracked changes, enabling generation of memos, reports, and technical papers directly from the command line.
Scaffold new Claude Agent SDK apps in TypeScript or Python by interactively gathering requirements, installing dependencies, and configuring projects. Verify apps post-creation or changes for SDK best practices, code quality, security, type safety, documentation, and deployment readiness.
Delegate specialized coding tasks to domain-expert subagents for building blockchain DApps and smart contracts, secure fintech payment systems with compliance, Unity-based games with multiplayer networking, scalable IoT edge solutions, native/cross-platform mobile apps, API documentation, quant trading models, and risk management frameworks.
Provides an opt-in productivity coaching system for Claude Code that enforces structured troubleshooting, evidence-based delivery, and multi-role agent orchestration. Activates automated retry loops, quality verification, and workplace-style process cues to drive task completion after repeated failures or passive behavior.
Automates equity research workflows: reads earnings transcripts and filings, updates financial models with new data, generates professional post-earnings reports with variance analysis, and drafts morning meeting notes — all without live Excel, using Python/openpyxl for .xlsx output.
Automate KYC/AML screening of investor onboarding documents: parse identity, ownership, source of funds; apply risk rules; check sanctions/PEP lists; generate escalation packets for compliance sign-off.
Automate general ledger to subledger reconciliation: detect breaks, trace root cause to originating journal entries, classify break causes, and route exception reports for sign-off. Also audits spreadsheets for financial model errors and integrity.
Write and optimize SQL across data warehouses, profile datasets, and generate interactive dashboards or publication-quality charts from queries or files. Automates data analysis with natural language queries and connects to analytics platforms like Amplitude and Hex.
Run comprehensive SEO audits on entire sites — technical crawl, content quality, schema, Core Web Vitals, backlinks, local/maps presence, e-commerce, hreflang, sitemaps, and GEO/AI search visibility — then generate scored action plans and content briefs, all from Claude Code.
Coordinate multiple AI providers (Claude, Gemini, API-based) to automate code review, TDD, debugging, security audits, design extraction, and documentation generation, with autonomous task decomposition and parallel execution for complex workflows.
Build and audit financial models (DCF, LBO, comps, 3-statement) in Excel, generate competitive landscape and pitch decks in PowerPoint, and access financial data from FactSet, PitchBook, Morningstar, and other sources.
Integrate semantic code analysis into your IDE via LSP for intelligent code understanding, refactoring suggestions, and seamless codebase navigation, powered by a remote MCP server.
Evaluate and improve LLM applications by instrumenting agents, chatbots, and RAG pipelines with DeepEval tracing, generating test suites, running evaluations, and exporting traces to Confident AI for observability and iterative refinement.
Generate professional briefing packs before each client meeting, including portfolio performance summaries, allocation analyses, talking points, and action items. Also creates quarterly investment reports and client proposals, outputting to .pptx files.
Build institutional-quality financial models (DCF, LBO, three-statement, and trading comparables) directly in Excel from a ticker and assumption set, with automated formula linkages, integrity audits, sensitivity tables exports as .xlsx files.
Build, validate, and debug n8n workflows with AI-guided skills for JavaScript/Python code nodes, LangChain AI agents, binary data handling, error recovery, sub-workflow composition, and architectural patterns, enforced by a hooks layer that prevents production breakage during MCP tool calls.
Turns any Claude conversation into a persistent, self-organizing Obsidian wiki vault with hybrid retrieval, methodology-based filing (LYT/PARA/Zettelkasten/Generic), automated research loops, canvas management, pre-commit auditing, and health checks — enabling compounding knowledge that survives across sessions and projects.
Audit and optimize paid advertising campaigns across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, and Amazon Ads with 250+ automated checks, weighted scoring, AI creative generation, and deep-dive attribution analysis.
Automate month-end close tasks including accruals, roll-forwards, and variance commentary, and assemble a close package for controller sign-off.
Audit LP capital-account statements against the fund NAV pack before distribution — ties out balances, allocations, and fees, flags discrepancies, and checks spreadsheet formulas for errors, hardcodes, and circular references.
Accelerate early-stage life sciences R&D by connecting to preclinical research tools and databases for literature search, genomics analysis, target prioritization, and data conversion.
Autonomously optimize code files by measurable metrics through iterative experiments: set up target file, eval command, and loop intervals (10min-monthly); AI edits code, commits to git branches, evaluates with Python, keeps improvements. Resume, run manually, or check dashboard status.
Automatically collect usage telemetry and session metadata across Claude Code lifecycle events (start, stop, end, user prompt submit) and check for pending skill notifications, using Python collectors via uv.
Install 124 ready-to-use Claude Code skills to automate 50+ third-party services including CRMs (HubSpot, Salesforce), PM tools (Jira, Asana), analytics (GA4, Mixpanel), cloud storage (Google Drive, Dropbox), GitHub/Vercel deploys, doc/PDF/image processing, React artifact building, design generation, and dev productivity tasks via Rube MCP/Composio integrations.
Delegate full-stack development workflows to Claude via 213 specialized agents, commands, and skills: refactor code, generate tests/deployments/Dockerfiles/K8s manifests, audit security/performance, document APIs/onboarding, orchestrate Git ops, and apply patterns across JS/TS/Python/Rust/Go/Java stacks.
Spawn parallel AI subagents in isolated git worktrees to compete on tasks like code optimization, refactoring, test writing, or bug fixing. Evaluate results using pytest metrics or LLM judging on git diffs, rank agents, and merge the top performer into your base branch.
Run CodeQL and Semgrep to scan multi-language codebases (Python, JavaScript/TS, Go, Java, C#, Ruby, Rust) for security vulnerabilities via taint tracking and pattern matching. Parse, deduplicate, and aggregate SARIF outputs from scans, then integrate findings into CI/CD pipelines using GitHub Actions or bash scripts.
Look up Python code examples and enforce Pythonic style — fetch syntax, concurrency, ML, and HPC references from pythonsheets.com while writing, debugging, or optimizing code, and get linting guidance for readable, idiomatic Python.
Automate web tasks with natural language: drives a local Playwright browser, captures screenshots and action logs, visually self-verifies results. Also generates reusable Python CLI tools from the workflows.
Generate PRDs, OKRs, outcome roadmaps, user stories, job stories, sprint plans, release notes, and stakeholder maps. Run pre-mortems for risk analysis, retrospectives for team feedback, prioritization frameworks, meeting summaries, and test scenarios with dummy data to manage agile product execution workflows.
Learn coding skills interactively with personalized tutorials and spaced repetition quizzes drawn from your own codebase. Use /teach-me for lessons, /quiz-me for practice with feedback, track progress, and sync tutorial data to a private GitHub repo.
Generate SQL queries from natural language descriptions using your database schema for PostgreSQL, MySQL, or BigQuery. Analyze CSV or Excel user data to produce cohort retention heatmaps, engagement trends, churn insights, and research recommendations. Evaluate A/B tests for statistical significance, confidence intervals, lift, and ship/extend/stop decisions with Python-powered reports.
Bridge IDA Pro with language models via MCP for AI-assisted reverse engineering, enabling natural language queries against disassembly, decompilation, cross-references, and database state using IDAPython scripting patterns.
Direct AI coding agents to create or update promptfoo evaluation suites with configs, prompts, tests, deterministic assertions, and provider setups following best practices. Streamline LLM eval coverage, regression debugging, and new eval matrix generation in JavaScript or Python projects using OpenAI or Anthropic models.
Semi-automated research assistant for academic ML/AI research and software development, enabling literature review with Zotero integration, paper writing with Nature/NeurIPS templates, experiment analysis with statistical validation, and Obsidian-based project knowledge management, plus code quality enforcement and CI workflows.
Implement Trail of Bits handbook security testing workflows: fuzz Rust, Python, C/C++, Ruby code with AFL++, libFuzzer, cargo-fuzz, Atheris; instrument AddressSanitizer; run static analysis via Semgrep, CodeQL; generate coverage reports, dictionaries, and bypass obstacles for vulnerability detection.
Generate and manipulate CAD models, robot descriptions, and fabrication files from natural language and Python code. Create parametric STEP/STL/3MF parts, slice meshes into printer-profiled G-code, validate URDF/SDF/SRDF robot descriptions, review DXF/STEP for SendCutSend orders, and search off-the-shelf CAD parts. Automate 3D printing workflows including Bambu Lab job submission.
Provides 20 Chinese-language skills for Claude Code and compatible AI coding tools, enabling structured brainstorming, TDD, debugging, code review, git workflows, MCP server development, and multi-agent task execution with Chinese-language conventions for commits, documentation, and team communication.
Audit smart contracts for vulnerabilities across Cosmos, Solana, Polkadot, TON, Algorand, and StarkNet blockchains using specialized scanners. Assess codebase maturity with scorecards, prepare for professional audits via static analysis and test improvements, analyze token integrations for ERC standards and risks, and apply Trail of Bits guidelines for architecture reviews and secure workflows.